Senior Computer Vision & Deep Learning Engineer
Listed on 2026-02-22
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Senior Computer Vision & Deep Learning Engineer
App Great is one of the fastest growing global IT companies, supporting the highest tech organizations in the world with 6 offices: 1 in Sofia, 1 in Skopje, 1 in Bucharest, 1 in Tel Aviv, 1 in Chisinau and 1 in Warsaw.
We are working with top talents and highly experienced management to ensure the world’s leading technology companies meet all the business challenges that the future holds.
We are App Great
! We are a young and ambitious company like no other!
The most important part of App Great is the team. From our founders to the last person, we are committed to creating a pleasant environment and a place where everybody feels like they belong. We invest in them in any way we can, starting from the amazing atmosphere in the office, unique benefits and career growth opportunities.
We are looking for a Senior Machine Learning Engineer with expertise in PyTorch or Tensor Flow and a proven track record in Computer Vision to build the next generation of identity verification technology. This is a production-focused role for a hands-on engineer who wants to architect end-to-end pipelines and develop innovative biometric solutions in a real-world, high-scale environment.
YOUR MISSION:- Translate advanced theories into practical, high-performance Computer Vision solutions. Decompose complex challenges — from classification to generative AI — and move from design to production-ready code.
- Own the full lifecycle of Computer Vision solutions,
providing end-to-end architecture and development of the entire system pipeline. - Implement and optimize sophisticated models using frameworks like PyTorch or Tensor Flow
, focusing on Biometrics, face-proofing, and anti-spoofing
, ensuring the highest level of security and accuracy. - Optimize developed solutions for real-world, high-volume production environments, ensuring low-latency and high-reliability performance.
- Stay ahead of the curve by identifying and addressing the implications of evolving regulatory requirements and emerging fraud threats.
- 5+ years of Software Development experience in a commercial environment;
- Professional experience in Python (specifically for ML and scripting);
- Proven expertise in Computer Vision solutions and a solid understanding of System Architecture, ML algorithms
, model evaluation, and validation techniques; - Proficiency with major Deep Learning frameworks, such as PyTorch, Tensor Flow or similar;
- Experience working in multidisciplinary teams alongside software developers, electronics engineers, and AI specialists;
- Creative thinking and the ability to apply advanced theories to solve practical, real-world problems.
- Experience with Biometrics, Face Features, or Liveness detection
; - Hands-on experience in developing and training large Vision-Language models or LLMs
; - Deep understanding of the interface between Computer Vision and Natural Language Processing;
- M.Sc./B.Sc. degree in Computer Science, Exact Sciences, or a relevant Engineering field.
- Attractive remuneration package
- Working style – Hybrid
- Flexible Working Hours
:
We care about results, not when you clock in, depending on the team working schedule. - Comprehensive Private Medical Insurance
:
Your health matters to us (UNIQA) - Annual leave starting with 20 days up to 25 days (depending on the relevant experience).
- Plus an extra day off to celebrate your birthday 🎉
- Multisport Card
:
Stay active with a subsidized membership, courtesy of App Great. - Netflix or Spotify Subscription
:
Your choice, fully covered by us for your entertainment and relaxation. - Monthly Food Vouchers
. - eMAG birthday gift voucher: A little extra something to celebrate your special day
- Childbirth gift: A thoughtful gift to support and celebrate one of life’s most important moments.
- Office Snacks & Treats
:
Fresh fruits, nuts, coffee, sweets, and protein bars always stocked. - Team Events & Offsites
:
Regular team buildings and company events to keep the good vibes going. - Learning & Development
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Access to training programs to boost your skills and career. - Career Growth Opportunities
:
Grow with a…
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